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David Zaretsky

Farley Center for Entrepreneurship and Innovation, McCormick School of Engineering and Applied Science, The Graduate School

Assistant Chair, Associate Professor of Electrical & Computer Engineering

About

Areas of Focus

  • VLSI / Electronic design automation
  • High-performance computing
  • Artificial intelligence (AI)
  • Computer vision
  • Signal processing
  • Data analytics

Work/Research

In the department of electrical and computing engineering, I teach a series of classes in digital design and high-performance computing, which touch on different areas of artificial intelligence, computer vision, signal processing and more.

At the Farley Center for Entrepreneurship, I teach a class called NUvention AI, in which students build startups focusing on AI, IoT and Data Analytics.

In my professional career, I have worked in many industries, including: semiconductors, aerospace & defense, financial trading, artificial intelligence, and influencer marketing (adtech / martech).

Career

David is an accomplished entrepreneur, engineer, researcher, and published author with over 15 years of hands-on professional and academic technological expertise in the fields of artificial intelligence, data analytics, high-performance computing, and electronic design automation. He has been involved with creation of multiple technology startup companies, and has worked in various areas of industry including semiconductors, aerospace & defense, high-frequency trading, adtech/martech, and artificial intelligence. Most recently, David co-founded Snips Media, where he currently serves as CEO and Chief Scientist. Snips is the first performance-driven influencer network and platform that accurately measures performance with influencers, from social engagements through online sales across hundreds of retailers automatically. The platform is currently used by and integrated with some of the world’s top brands and agencies. David received dual B.S. degrees in Electrical Engineering and Computer Engineering from Northwestern University in 2000, and received Ph.D. in Electrical and Computer Engineering from Northwestern University in 2005. He has authored 15 conference and journal publications in the research areas of high-performance computing and electronic design automation.